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26th International Conference on software engineering and Knowledge engineering, SEKE 2014

作者： Lian, Xiaoli Zhang, Li State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing China

Feature modeling is the primary technology to capture and document the commonalities and variability among all of the members in a product line. Individual products are customized by selecting features according to the requirements. The work of feature selection is complex because of: 1) the complex dependencies and constraint relationship amongst features;2) the multiple competing and conflicting non-functional requirements (NFRs);3) the constraints to NFRs;4) the explicit functional requirements. To select optimized feature set that conforms to the feature relations and satisfies both the functional and nonfunctional requirements and the related constraints, an evolutionary algorithm template which employs multi-objective optimization algorithms to optimally select features in SPLs, is proposed. In the experiments, two different algorithms are designed based on our template. Empirical results show the remarking performance of our algorithms on time especially when the feature models are large and complex. Copyright © 2014 by Knowledge Systems Institute Graduate school.

关键词： Feature selection Multiobjective optimization Non-functional optimization Product line engineering

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A two-level audio fingerprint retrieval algorithm for advertisement audio 14

A two-level audio fingerprint retrieval algorithm for advert...

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12th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2014

作者： Sui, Donghui Ruan, Li Xiao, Limin State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University Beijing 100191 China

ISBN: (纸本)9781450330084

In this paper, we propose a two-level audio fingerprint retrieval algorithm to satisfy the demand of accurate and efficient search for advertisement audio. We use the spectrum modulus to extract two kinds of audio fingerprints from global and local view of the audio frame, and then we carry on a two-level advertisement audio search. Finally, we parallel the search by MPI to enhance the search speed and make our system have a good scalability. Copyright 2014 ACM.

关键词： advertisement audio retrieval two-level MPI spectrum modulus Audio fingerprints

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Performance Modeling of Openstack Cloud Computing Platform Using Performance Evaluation Process Algebra

Performance Modeling of Openstack Cloud Computing Platform U...

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International Conference on Cloud Computing and Big Data (CCBD)

作者： Leijie Sha Jie Ding Xiao Chen Xiaobin Zhang Yun Zhang Yishi Zhao School of Information Engineering Yangzhou University Yangzhou China State Key Laboratory of Software Development Environment Beihang University Beijing China School of Computer Science and Telecommunication Engineering Jiangsu University ZhenJian China School of Mathematics Yangzhou University Yangzhou China School of Information Engineering Geosciences University (Wuhan) Wuhan China

Cloud computing integrates the computation, storage, network etc., making it behaves as a virtualized computing resource pool, and provides services to customers with the dynamic on-demand and measurable way. In order to manage these resources, some cloud computing platform management systems composed of different function modules have been developed, and the coupling between these modules is very low. Therefore, the deployments of these cloud computing management systems are very flexible. However, the deployment architecture affects the performance of the cloud computing platform. This paper employs a high level formalization method, Performance Evaluation Process Algebra (PEPA), to model, analyze, and evaluate the Openstack cloud computing platform deployed by a common deployment architecture with the angle of resources. The findings reveal the key factors affecting the cloud computing platform performance and the potential solutions of deployment architecture to improve performance.

关键词： Cloud computing computer architecture Databases Computational modeling Algebra Neutrons Performance evaluation

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Metadata-intensive I/O optimizations in parallel file systems

Metadata-intensive I/O optimizations in parallel file system...

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2013 International Conference on Future computer and Information Technology, ICFCIT 2013

作者： Xiao, Limin Xie, Ke Li, Xiuqiao Wu, Qimeng Ruan, Li Peng, Junjie State Key Laboratory of Software Development Environment Beihang University China School of Computer Engineering and Science Shanghai University China

ISBN: (纸本)9781845648510

With parallel file systems increasingly growing in size, the performance of metadata I/O becomes critical for overall performance. Metadata-intensive applications create a lot of metadata I/O requests with a small amount of data, making metadata access become the bottleneck of system. We propose an optimization method based on aggregating and merging requests for metadataintensive I/O to deal with this problem. Extensive simulations show that the aggregate throughput of intensive file creating can be increased by up to 15.28 times and average response time can be decreased by factors of up to 99.27 percent when the aggregation period and request interval is configured as 0.8ms and 0.025ms respectively. Simulations also show that the aggregate throughput of intensive metadata access can be increased by up to 8.45 times and average response time can be decreased by factors of up to 99.02 percent when the merging period and request interval is configured as 0.4ms and 0.025ms respectively. Meanwhile, experiments show that our method can scale well with the number of metadata servers and clients. © 2014 WIT Press.

关键词： Merging

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A simplified algorithm for generating test Case for the GUI software automatically

A simplified algorithm for generating test Case for the GUI ...

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2014 International Conference on Computational Intelligence and Industrial engineering(CIIE 2014)

作者： Chen Wang Tao Li Rui Li Shilong Ma Institute of Geophysics China Earthquake Administration State Key Lab.of Software Development Environment School of Computer Science & EngineeringBeiHang University

As we know,GUI(Graphical User Interface) is an important and indispensable element in software. GUI test also becomes very important. Nowadays,there are some shortcomings in many model-based automatic test cases generation. In this paper,we introduce the event-flow model,obtain a parameter event-flow model(PEFG) after improvement,and design a simplified algorithm in order to reduce the number of generated test cases,improve the quality of test cases,and reduce test execution cost.

关键词： GUI event-flow model test case simplified algorithm

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Research on communication model of IPv6-based intelligent lighting system

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computer Modelling and New Technologies 2014年第12期18卷 665-671页

作者： Li, Rui Ma, Shilong State Key Lab of Software Development Environment School of Computer Science and Engineering Beihang University Beijing China

Intelligent Lighting is the development direction of urban municipal lighting construction. IPv6 technology is considered as the key to solve the problems such as point light source controlled separately, multi-scene controlled flexible and user-friendly, control signal with minimal latency, plug and play heterogeneous devices, green energy and so on. In this paper, we introduce the IPv6 into the intelligent lighting system;build the communication model from three aspects which are information model, information exchanging model and general protocol according to the characteristics of information transmission in intelligent lighting system. At last, the usability of the communication model is analysed and verified by the landscape lighting control system which deployed in the Olympic central area.

关键词： Internet protocols

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A Novel Online Measure of Cache Utility Efficiency in Chip Multiprocessor

A Novel Online Measure of Cache Utility Efficiency in Chip M...

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第11届分布式计算及其应用国际学术研讨会

作者： Huang Zhibin Zhu MingFa Xiao Limin Ruan Li Ding Yi State Key Laboratory of Software Development Environment School of Computer Science and Engineering Beihang University

The cache partition mechanism is introduced to solve the problem of contention and pollution of caches in Chip Multiprocessor. One of the key questions is to analyze online the utility characteristics and efficiency of cache requests originating from different sources. Cache request is differentiated by hardware thread context id. Based on the working set model, within a certain sampling time frame, a number of specific cache lines are preserved by modifying the cache address mapping mechanism and its number is the same as that of the hardware threads of the processor, performing statistics on the frequency of Stack Distance under LRU respectively. Based on the characteristic of the frequency distribution of Stack Distance, We propose a metric, L*D, to measure online the recognition of the cache utility efficiency of the working set and providing information for the decisionmaking of cache allocation and management. Experiments performed in multiple Benchmarks in Spec Cpu2000 show that the online monitoring mechanism and quantitative metric discussed in this article have achieved fine-grained online monitoring of the efficiency of cache utility based on the working set. Not only do they allow the online recognition of cache space utility characteristic, but they do also enable the identification of any changes in the efficiency of cache utility, achieving an accuracy of over 75%.

关键词： CMP cache Working Set Cache Partitioning Shared last level cache Online

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A Multi-Attribute Decision Making Approach to Congestion Control in Delay Tolerant Networks

A Multi-Attribute Decision Making Approach to Congestion Con...

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IEEE International Conference on Communications

作者： Kaimin Wei Song Guo Deze Zeng Ke Xu State Key Lab of Software Development Environment Beihang University China School of Computer Science and Engineering The University of Aizu Japan

DTNs are prone to congestion due to limited resource on each node and unpredictable end-to-end delay. We aim to develop an effective congestion control mechanism in this paper. For this purpose, we first identify a list of major congestion factors by analyzing the causes of congestion. We then model the congestion control as a multiple attribute decision making problem (MADM), in which the weight of congestion factors is measured by an entropy method. To solve this problem, we present a MADM-based congestion control mechanism that determines a set of forwarding messages and its transmission order on each encounter event. Moreover, we design a buffer management scheme that deletes messages whose removal would incur the least impact to the network performance when the buffer overflows. Extensive real-trace driven simulation is conducted and the experimental results finally validate the efficiency of our proposed congestion control mechanism.

关键词： Delays Routing Buffer storage Decision making Peer-to-peer computing Weight measurement Mobile communication

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Metadata-intensive I/O optimizations in parallel file systems

Metadata-intensive I/O optimizations in parallel file system...

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2013 International Conference on Future computer and Information Technology(ICFCIT 2013)

作者： Limin Xiao Ke Xie Xiuqiao Li Qimeng Wu Li Ruan Junjie Peng State Key Laboratory of Software Development Environment Beihang University School of Computer Engineering and Science Shanghai University

With parallel file systems increasingly growing in size, the performance of metadata I/O becomes critical for overall performance. Metadata-intensive applications create a lot of metadata I/O requests with a small amount of data, making metadata access become the bottleneck of system. We propose an optimization method based on aggregating and merging requests for metadataintensive I/O to deal with this problem. Extensive simulations show that the aggregate throughput of intensive file creating can be increased by up to 15.28 times and average response time can be decreased by factors of up to 99.27 percent when the aggregation period and request interval is configured as 0.8ms and 0.025 ms respectively. Simulations also show that the aggregate throughput of intensive metadata access can be increased by up to 8.45 times and average response time can be decreased by factors of up to 99.02 percent when the merging period and request interval is configured as 0.4ms and 0.025 ms respectively. Meanwhile, experiments show that our method can scale well with the number of metadata servers and clients.

关键词： parallel file system,metadata-intensive I/O,aggregating and merging requests

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Automatic RMO picking in seismic travel time tomography

Automatic RMO picking in seismic travel time tomography

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International Conference on Natural Computation (ICNC)

作者： Jianxing Zhang Qin Yang Xianhai Meng Jigang Li State Key Laboratory of Software Development Environment Beijing China School of Computer Science and Engineering Beihang University Beijing China

ISBN: (纸本)9781479951529

The Residual Move Out (RMO) provides crucial information for updating velocity model in Pre-stack tomography. The accuracy and precision of picking result significantly determine the efficiency of the scheme. Two methods are produced respectively to warrant the requirements. The first method, namely energy spectrum based method, is conducted in a fully automatic way to ensure tomographic efficiency, and is very adapted to implement at the early iterative process of the tomography. The other method, which acts as a semi-automatic pickup based on the estimation of fourth-order cumulants, is executed to guarantee the accuracy for the late tomographic iterations. Practical applications witness the good effect of the two introduced approaches.

关键词： Tomography Estimation Reflection Delay effects Accuracy Earth Mathematical model

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